Sehoon Kim

6 papers and 66 indexed citations i.

Sehoon Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sehoon Kim has authored 6 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Sehoon Kim’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Natural Language Processing Techniques (2 papers). Sehoon Kim is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Natural Language Processing Techniques (2 papers). Sehoon Kim collaborates with scholars based in United States, China and South Korea. Sehoon Kim's co-authors include Kurt Keutzer, Amir Gholami, Michael W. Mahoney, Zhewei Yao, Sheng Shen, David Thorsley, Woosuk Kwon, Amir Gholami, Zhen Dong and Shixing Yu and has published in prestigious journals such as Proceedings of the VLDB Endowment, IEEE Micro and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.